Summer 2015: CCNS: Computational Neuroscience Summer School: July 27-31, 2015

Location

This summer school was held at The Solution Center, Durham, NC.

Description

For July 27-31, 2015, the following instructors taught courses on five major research topics in computational neuroscience:

  • Neural Spike Train Analysis
    Mark A. Kramer, Boston University
    Uri Eden, Boston University
  • Compressed Sensing for Signal Processing
    Justin Romberg, Georgia Tech
  • Functional Data Analysis for Medical Imaging Data
    Hans-Georg Müller, University of California, Davis
    Jane-Ling Wang, University of California, Davis
  • Big-biomedical Data Integration and Analysis
    Jeffrey S. Morris, MD Anderson Cancer Center, University of Texas
    Hongtu Zhu, University of North Carolina-Chapel Hill
    Yu-Ping Wang, Tulane University
  • Shape Analysis and Diffeomorphisms for Medical Imaging Data
    Laurent Younes, Johns Hopkins University

The instructors gave an in-depth overview of each topic followed by problem/discussion sessions. Software packages were introduced to students with datasets to carry out some simple data analysis.

Potential Students
This summer school is targeted for graduate students, postdocs, and junior faculty from neuroscience, biomedical engineering, radiology, statistics, and applied mathematics. We may consider a limited number of applications from senior faculty.

Questions: email CCNS@samsi.info


Schedule and Supporting Media

Participant List
Speaker Abstracts and Titles

Monday, July 27, 2015
The Solution Center – Wilmington Room

Time Description Speaker Slides Videos
7:45-8:00 Shuttle to The Solution Center (Meet in the Hotel Lobby)
8:00-8:15 Registration
8:15-8:20 Welcome and Introduction Tom Witelski , Duke University
Hongtu Zhu, UNC-Chapel Hill
8:20-9:20 Neural Spike Train Analysis 1: Introduction to Point Processes
Spike Train Analysis Using Generalized Linear Models
Modeling Your Spiking Data with Generalized Linear Models
Examples
Uri Eden, Boston University  
 
 
 
 
9:20-9:40 Break
9:40-10:40 Neural Spike Train Analysis
10:40-11:00 Break
11:00-12:00 Neural Spike Train Analysis
12:00-1:00 Lunch – Currituck and Wilmington Rooms
1:00-2:00 Compressed Sensing
Mathematics and Applications of Compressed Sensing
The Basics of Sparse Representations
Mathematical Fundamentals of Compressive Sensing: Sparse Embeddings and Random Matrices
Mathematical Fundamentals of Compressive Sensing: Sparse Recovery using L_1 Minimization
Dynamic Reconstruction: Least-squares and L_1
Justin Romberg, Georgia Institute of Technology  
 
 
 
 
 
2:00-2:20 Break
2:20-3:20 Compressed Sensing
3:20-3:40 Break
3:40-4:40 Compressed Sensing
4:45-5:00 Shuttle to Hotel (Dinner on your Own)

Tuesday, July 28, 2015
The Solution Center – Wilmington Room

Time Description Speaker Slides Videos
7:45-8:00 Shuttle to The Solution Center (Meet in the Hotel Lobby)
8:00-8:20 Registration
8:20-9:20 Neural Spike Train Analysis
An introduction to biophysical models (Part 1)
An introduction to biophysical models (Part 2)
An introduction to biophysical models (Part 3)
Examples
Mark Kramer, Boston University  
 
 
 
9:02-9:40 Break
9:40-10:40 Neural Spike Train Analysis
10:40-11:00 Break
11:00-12:00 Problem/Discussion Sessions
12:00-1:00 Lunch – Currituck and Wilmington Rooms
1:00-2:00 Compressed Sensing
Mathematical Fundamentals of Compressive Sensing: Low Rank Matrix Recovery
Optimization Basics
Discussion Questions
Justin Romberg, Georgia Institute of Technology  
 
 
2:00-2:20 Break
2:20-3:20 Compressed Sensing
3:20-3:40 Break
3:40-4:40 Problem/Discussion Sessions
4:45-5:00 Shuttle to Hotel (Dinner on your Own)

Wednesday, July 29, 2015
The Solution Center – Wilmington Room

Time Description Speaker Slides Videos
7:45-8:00 Shuttle to The Solution Center (Meet in the Hotel Lobby)
8:00-8:20 Registration
8:20-9:20 Functional Data Analysis
Functional Data Analysis for Medical Imaging Data
Jane-Ling Wang, University of California-Davis    
9:20-9:40 Break
9:40-10:40 Functional Data Analysis
10:40-11:00 Break
11:00-12:00 Functional Data Analysis
12:00-1:00 Lunch – Currituck and Wilmington Rooms
1:00-2:00 Functional Data Analysis
Lectures on Functional Data Analysis
Hans-Georg Müller, University of California-Davis    
2:00-2:20 Break
2:20-3:20 Functional Data Analysis
3:20-3:40 Break
3:40-4:40 Problem/Discussion Sessions
4:45-5:00 Shuttle to Hotel (Dinner on your Own)

Thursday, July 30, 2015
The Solution Center – Wilmington Room

Time Description Speaker Slides Videos
7:45-8:00 Shuttle to The Solution Center (Meet in the Hotel Lobby)
8:00-8:20 Registration
8:20-9:20 Big Data Integration and Analysis
Functional Regression Methods for Integration of Big Biomedical Imaging Data – Part 1
Jeffrey S. Morris, MD Anderson Cancer Center    
9:20-9:40 Break
9:40-10:40 Big Data Integration and Analysis
Functional Regression Methods for Integration of Big Biomedical Imaging Data – Part 2
 
10:40-11:00 Break
11:00-12:00 Big Data Integration and Analysis
Integration of brain imaging, genomics, networks and biological knowledge information
Yu-Ping Wang, Tulane University    
12:00-1:00 Lunch – Currituck and Wilmington Rooms
1:00-2:00 Shape Analysis and Diffeomorphisms Laurent Younes, Johns Hopkins University    
2:00-2:20 Break
2:20-3:20 Shape Analysis and Diffeomorphisms
3:20-3:40 Break
3:40-4:40 Shape Analysis and Diffeomorphisms
4:45-5:00 Shuttle to Hotel (Dinner on your Own)

Friday, July 31, 2015
The Solution Center – Wilmington Room

Time Description Speaker Slides Videos
7:45-8:00 Shuttle to The Solution Center (Meet in the Hotel Lobby)
8:00-8:20 Registration
8:20-9:20 Shape Analysis and Diffeomorphisms (Continued from Thursday)
9:20-9:40 Break
9:40-10:40 Shape Analysis and Diffeomorphisms
10:40-11:00 Break
11:00-12:00 Problem/Discussion Sessions
12:00-1:00 Lunch – Currituck and Wilmington Rooms
1:00-2:00 Big Data Integration and Analysis Yu-Ping Wang, Tulane University
2:00-2:20 Break
2:20-3:20 Big Data Integration and Analysis
Big Data Integration in Biomedical Studies
Big Data Integration examples
Software for examples
Hongtu Zhu, University of North Carolina  
 
 
3:20-3:40 Break
3:40-4:40 Big Data Integration and Analysis
4:40 Adjourn
4:45-5:00 Shuttle to RDU Airport or Hotel (Dinner on your Own)